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Briggman","year":"2011","journal-title":"Nature"},{"issue":"7461","key":"ref9","doi-asserted-by":"crossref","first-page":"168","DOI":"10.1038\/nature12346","article-title":"Connectomic reconstruction of the inner plexiform layer in the mouse retina","volume":"500","author":"M Helmstaedter","year":"2013","journal-title":"Nature"},{"issue":"6","key":"ref10","doi-asserted-by":"crossref","first-page":"1009","DOI":"10.1016\/j.neuron.2010.08.014","article-title":"Ultrastructural Analysis of Hippocampal Neuropil from the Connectomics Perspective","volume":"67","author":"Y Mishchenko","year":"2010","journal-title":"Neuron"},{"issue":"1165","key":"ref11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1098\/rstb.1986.0056","article-title":"The structure of the nervous system of the nematode Caenorhabditis elegans","volume":"314","author":"JG White","year":"1986","journal-title":"Phil Trans R Soc Lond B"},{"key":"ref12","unstructured":"Ryan K, Lu Z, Meinertzhagen IA. The CNS connectome of a tadpole larva of Ciona intestinalis (L.) highlights sidedness in the brain of a chordate sibling; 2016. Available from: <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/elifesciences.org\/articles\/16962\" xlink:type=\"simple\">https:\/\/elifesciences.org\/articles\/16962<\/ext-link>."},{"issue":"3","key":"ref13","doi-asserted-by":"crossref","first-page":"730","DOI":"10.1016\/j.cell.2018.06.019","article-title":"A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster","volume":"174","author":"Z Zheng","year":"2018","journal-title":"Cell"},{"issue":"7549","key":"ref14","doi-asserted-by":"crossref","first-page":"633","DOI":"10.1038\/nature14297","article-title":"A multilevel multimodal circuit enhances action selection in Drosophila","volume":"520","author":"T Ohyama","year":"2015","journal-title":"Nature"},{"issue":"5594","key":"ref15","doi-asserted-by":"crossref","first-page":"824","DOI":"10.1126\/science.298.5594.824","article-title":"Network Motifs: Simple Building Blocks of Complex Networks","volume":"298","author":"R Milo","year":"2002","journal-title":"Science"},{"issue":"3","key":"ref16","doi-asserted-by":"crossref","first-page":"507","DOI":"10.1371\/journal.pbio.0030068","article-title":"Highly nonrandom features of synaptic connectivity in local cortical circuits","volume":"3","author":"S Song","year":"2005","journal-title":"Plos Biology"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"P03012","DOI":"10.1088\/1742-5468\/2013\/03\/P03012","article-title":"Motif statistics and spike correlations in neuronal networks","author":"Y Hu","year":"2013","journal-title":"Journal of Statistical Mechanics-Theory and Experiment"},{"issue":"3","key":"ref18","doi-asserted-by":"crossref","first-page":"032802","DOI":"10.1103\/PhysRevE.89.032802","article-title":"Local paths to global coherence: Cutting networks down to size","volume":"89","author":"Y Hu","year":"2014","journal-title":"Physical Review E"},{"issue":"3","key":"ref19","doi-asserted-by":"crossref","first-page":"e1002408","DOI":"10.1371\/journal.pcbi.1002408","article-title":"Impact of Network Structure and Cellular Response on Spike Time Correlations","volume":"8","author":"J Trousdale","year":"2012","journal-title":"Plos Computational Biology"},{"issue":"5","key":"ref20","doi-asserted-by":"crossref","first-page":"e1002059","DOI":"10.1371\/journal.pcbi.1002059","article-title":"How Structure Determines Correlations in Neuronal Networks","volume":"7","author":"V Pernice","year":"2011","journal-title":"Plos Computational Biology"},{"issue":"1","key":"ref21","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1038\/nn.4433","article-title":"The spatial structure of correlated neuronal variability","volume":"20","author":"R Rosenbaum","year":"2017","journal-title":"Nature Neuroscience"},{"key":"ref22","unstructured":"Mastrogiuseppe F, Ostojic S. Linking connectivity, dynamics and computations in recurrent neural networks. arXiv:171109672 [q-bio]. 2017."},{"issue":"15","key":"ref23","doi-asserted-by":"crossref","first-page":"158101","DOI":"10.1103\/PhysRevLett.102.158101","article-title":"Diagrammatic Expansion of Pulse-Coupled Network Dynamics","volume":"102","author":"AV Rangan","year":"2009","journal-title":"Physical Review Letters"},{"issue":"3","key":"ref24","doi-asserted-by":"crossref","first-page":"036101","DOI":"10.1103\/PhysRevE.80.036101","article-title":"Diagrammatic expansion of pulse-coupled network dynamics in terms of subnetworks","volume":"80","author":"AV Rangan","year":"2009","journal-title":"Physical Review E"},{"issue":"12","key":"ref25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1371\/journal.pcbi.1005141","article-title":"Scaling Properties of Dimensionality Reduction for Neural Populations and Network Models","volume":"12","author":"RC Williamson","year":"2016","journal-title":"PLOS Computational Biology"},{"key":"ref26","doi-asserted-by":"crossref","DOI":"10.3389\/fnsys.2016.00011","article-title":"Stimuli Reduce the Dimensionality of Cortical Activity","volume":"10","author":"L Mazzucato","year":"2016","journal-title":"Frontiers in Systems Neuroscience"},{"key":"ref27","unstructured":"A theory of multineuronal dimensionality, dynamics and measurement | bioRxiv;. Available from: <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/www.biorxiv.org\/content\/early\/2017\/11\/05\/214262\" xlink:type=\"simple\">https:\/\/www.biorxiv.org\/content\/early\/2017\/11\/05\/214262<\/ext-link>."},{"issue":"1","key":"ref28","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1162\/089976699300016827","article-title":"The effect of correlated variability on the accuracy of a population code","volume":"11","author":"LF Abbott","year":"1999","journal-title":"Neural Computation"},{"key":"ref29","doi-asserted-by":"crossref","first-page":"13805","DOI":"10.1038\/ncomms13805","article-title":"Temporal pairwise spike correlations fully capture single-neuron information","volume":"7","author":"A Dettner","year":"2016","journal-title":"Nature Communications"},{"issue":"2","key":"ref30","article-title":"The Sign Rule and Beyond: Boundary Effects, Flexibility, and Noise Correlations in Neural Population Codes","volume":"10","author":"Y Hu","year":"2014","journal-title":"Plos Computational Biology"},{"issue":"10","key":"ref31","doi-asserted-by":"crossref","first-page":"1410","DOI":"10.1038\/nn.3807","article-title":"Information-limiting correlations","volume":"17","author":"R Moreno-Bote","year":"2014","journal-title":"Nature Neuroscience"},{"issue":"2","key":"ref32","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1016\/j.neuron.2015.11.019","article-title":"Direction-Selective Circuits Shape Noise to Ensure a Precise Population Code","volume":"89","author":"J Zylberberg","year":"2016","journal-title":"Neuron"},{"issue":"5","key":"ref33","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1038\/nrn1888","article-title":"Neural correlations, population coding and computation","volume":"7","author":"BB Averbeck","year":"2006","journal-title":"Nature Reviews Neuroscience"},{"issue":"6485","key":"ref34","doi-asserted-by":"crossref","first-page":"140","DOI":"10.1038\/370140a0","article-title":"Correlated Neuronal Discharge Rate and Its Implications for Psychophysical Performance","volume":"370","author":"E Zohary","year":"1994","journal-title":"Nature"},{"issue":"7","key":"ref35","doi-asserted-by":"crossref","first-page":"811","DOI":"10.1038\/nn.2842","article-title":"Measuring and interpreting neuronal correlations","volume":"14","author":"MR Cohen","year":"2011","journal-title":"Nature Neuroscience"},{"issue":"6","key":"ref36","doi-asserted-by":"crossref","first-page":"1143","DOI":"10.1016\/j.neuron.2015.09.012","article-title":"Waking State: Rapid Variations Modulate Neural and Behavioral Responses","volume":"87","author":"MJ McGinley","year":"2015","journal-title":"Neuron"},{"issue":"3","key":"ref37","doi-asserted-by":"crossref","first-page":"383","DOI":"10.1038\/nn.4242","article-title":"The mechanics of state-dependent neural correlations","volume":"19","author":"B Doiron","year":"2016","journal-title":"Nature Neuroscience"},{"issue":"7539","key":"ref38","doi-asserted-by":"crossref","first-page":"399","DOI":"10.1038\/nature14182","article-title":"Functional organization of excitatory synaptic strength in primary visual cortex","volume":"518","author":"L Cossell","year":"2015","journal-title":"Nature"},{"issue":"1","key":"ref39","doi-asserted-by":"crossref","first-page":"235","DOI":"10.1016\/j.neuron.2014.02.006","article-title":"State Dependence of Noise Correlations in Macaque Primary Visual Cortex","volume":"82","author":"AS Ecker","year":"2014","journal-title":"Neuron"},{"issue":"6","key":"ref40","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1038\/nn.3711","article-title":"Partitioning neuronal variability","volume":"17","author":"RLT Goris","year":"2014","journal-title":"Nature Neuroscience"},{"key":"ref41","doi-asserted-by":"crossref","DOI":"10.3389\/fncom.2011.00028","article-title":"Synchronization from Second Order Network Connectivity Statistics","volume":"5","author":"L Zhao","year":"2011","journal-title":"Frontiers in Computational Neuroscience"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"1","DOI":"10.3389\/fncom.2011.00008","article-title":"The role of degree distribution in shaping the dynamics in networks of sparsely connected spiking neurons","volume":"5","author":"A Roxin","year":"2011","journal-title":"Frontiers in Computational Neuroscience"},{"key":"ref43","unstructured":"Hu Y, Brunton SL, Cain N, Mihalas S, Kutz JN, Shea-Brown E. Feedback through graph motifs relates structure and function in complex networks. arXiv:160509073 [cond-mat, physics:physics, q-bio]. 2016."},{"issue":"7087","key":"ref44","doi-asserted-by":"crossref","first-page":"1007","DOI":"10.1038\/nature04701","article-title":"Weak pairwise correlations imply strongly correlated network states in a neural population","volume":"440","author":"E Schneidman","year":"2006","journal-title":"Nature"},{"issue":"3","key":"ref45","doi-asserted-by":"crossref","first-page":"031916","DOI":"10.1103\/PhysRevE.85.031916","article-title":"Recurrent interactions in spiking networks with arbitrary topology","volume":"85","author":"V Pernice","year":"2012","journal-title":"Physical Review E"},{"issue":"1-2","key":"ref46","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s10827-009-0179-x","article-title":"A new look at state-space models for neural data","volume":"29","author":"L Paninski","year":"2010","journal-title":"Journal of Computational Neuroscience"},{"key":"ref47","first-page":"493","article-title":"Progress in Brain Research. vol. 165 of Computational Neuroscience: Theoretical Insights into Brain Function","author":"L Paninski","year":"2007"},{"issue":"7155","key":"ref48","doi-asserted-by":"crossref","first-page":"802","DOI":"10.1038\/nature06028","article-title":"Correlation between neural spike trains increases with firing rate","volume":"448","author":"J de la Rocha","year":"2007","journal-title":"Nature"},{"issue":"10","key":"ref49","doi-asserted-by":"crossref","first-page":"108102","DOI":"10.1103\/PhysRevLett.100.108102","article-title":"Correlation and synchrony transfer in integrate-and-fire neurons: Basic properties and consequences for coding","volume":"100","author":"E Shea-Brown","year":"2008","journal-title":"Physical Review Letters"},{"issue":"5","key":"ref50","doi-asserted-by":"crossref","first-page":"1676","DOI":"10.1523\/JNEUROSCI.21-05-01676.2001","article-title":"Correlated firing in macaque visual area MT: Time scales and relationship to behavior","volume":"21","author":"W Bair","year":"2001","journal-title":"Journal of Neuroscience"},{"issue":"3","key":"ref51","doi-asserted-by":"crossref","first-page":"e1004083","DOI":"10.1371\/journal.pcbi.1004083","article-title":"Improved Estimation and Interpretation of Correlations in Neural Circuits","volume":"11","author":"D Yatsenko","year":"2015","journal-title":"Plos Computational Biology"},{"issue":"4","key":"ref52","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1007\/BF00365086","article-title":"Stochastic Dynamics of Neuronal Interaction","volume":"22","author":"T Sejnowski","year":"1976","journal-title":"Biological Cybernetics"},{"issue":"4","key":"ref53","doi-asserted-by":"crossref","first-page":"048101","DOI":"10.1103\/PhysRevLett.93.048101","article-title":"Oscillatory activity in electrosensory neurons increases with the spatial correlation of the stochastic input stimulus","volume":"93","author":"B Doiron","year":"2004","journal-title":"Physical Review Letters"},{"issue":"6","key":"ref54","doi-asserted-by":"crossref","first-page":"061919","DOI":"10.1103\/PhysRevE.72.061919","article-title":"Theory of oscillatory firing induced by spatially correlated noise and delayed inhibitory feedback","volume":"72","author":"B Lindner","year":"2005","journal-title":"Physical Review E"},{"issue":"1","key":"ref55","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1093\/biomet\/58.1.83","article-title":"pectra of Some Self-Exciting and Mutually Exciting Point Processes","volume":"58","author":"A Hawkes","year":"1971","journal-title":"Biometrika"},{"key":"ref56","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1016\/j.conb.2017.07.011","article-title":"From the statistics of connectivity to the statistics of spike times in neuronal networks","volume":"46","author":"GK Ocker","year":"2017","journal-title":"Current Opinion in Neurobiology"},{"issue":"2","key":"ref57","doi-asserted-by":"crossref","first-page":"204","DOI":"10.1016\/j.mbs.2006.08.020","article-title":"A mathematical framework for inferring connectivity in probabilistic neuronal networks","volume":"205","author":"DQ Nykamp","year":"2007","journal-title":"Mathematical Biosciences"},{"issue":"7474","key":"ref58","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1038\/nature12600","article-title":"Dendritic spikes enhance stimulus selectivity in cortical neurons <italic>in vivo<\/italic>","volume":"503","author":"SL Smith","year":"2013","journal-title":"Nature"},{"issue":"33","key":"ref59","doi-asserted-by":"crossref","first-page":"10234","DOI":"10.1523\/JNEUROSCI.1275-09.2009","article-title":"How Connectivity, Background Activity, and Synaptic Properties Shape the Cross-Correlation between Spike Trains","volume":"29","author":"S Ostojic","year":"2009","journal-title":"Journal of Neuroscience"},{"issue":"5965","key":"ref60","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1126\/science.1179850","article-title":"The Asynchronous State in Cortical Circuits","volume":"327","author":"A Renart","year":"2010","journal-title":"Science"},{"key":"ref61","unstructured":"Abbott LF, Rajan K, Sompolinsky H. Interactions between Intrinsic and Stimulus-Evoked Activity in Recurrent Neural Networks. arXiv:09123832 [cond-mat, physics:physics, q-bio]. 2009."},{"issue":"7346","key":"ref62","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1038\/nature10011","article-title":"Controllability of complex networks","volume":"473","author":"YY Liu","year":"2011","journal-title":"Nature"},{"key":"ref63","doi-asserted-by":"crossref","first-page":"5415","DOI":"10.1038\/ncomms6415","article-title":"Target control of complex networks","volume":"5","author":"J Gao","year":"2014","journal-title":"Nature Communications"},{"issue":"6","key":"ref64","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1162\/089976698300017214","article-title":"Chaotic balanced state in a model of cortical circuits","volume":"10","author":"C van Vreeswijk","year":"1998","journal-title":"Neural Computation"},{"key":"ref65","article-title":"Towards deep learning with segregated dendrites","volume":"6","author":"J Guerguiev","journal-title":"eLife"},{"key":"ref66","doi-asserted-by":"crossref","first-page":"13276","DOI":"10.1038\/ncomms13276","article-title":"Random synaptic feedback weights support error backpropagation for deep learning","volume":"7","author":"TP Lillicrap","year":"2016","journal-title":"Nature Communications"},{"issue":"2","key":"ref67","doi-asserted-by":"crossref","first-page":"245","DOI":"10.1016\/j.neuron.2017.06.011","article-title":"Neuroscience-Inspired Artificial Intelligence","volume":"95","author":"D Hassabis","year":"2017","journal-title":"Neuron"},{"issue":"8","key":"ref68","doi-asserted-by":"crossref","first-page":"e1004458","DOI":"10.1371\/journal.pcbi.1004458","article-title":"Self-Organization of Microcircuits in Networks of Spiking Neurons with Plastic Synapses","volume":"11","author":"GK Ocker","year":"2015","journal-title":"Plos Computational Biology"},{"key":"ref69","article-title":"Training and Spontaneous Reinforcement of Neuronal Assemblies by Spike Timing Plasticity","author":"GK Ocker","year":"2018","journal-title":"Cerebral Cortex (New York, NY: 1991)"},{"key":"ref70","article-title":"A synaptic organizing principle for cortical neuronal groups","author":"R Perin","year":"2011","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"ref71","doi-asserted-by":"crossref","unstructured":"Knox JE, Harris KD, Graddis N, Whitesell JD, Zeng H, Harris JA, et al. High resolution data-driven model of the mouse connectome. bioRxiv. 2018.","DOI":"10.1101\/293019"},{"issue":"5","key":"ref72","doi-asserted-by":"crossref","first-page":"456","DOI":"10.1038\/nn1228","article-title":"Multiple neural spike train data analysis: state-of-the-art and future challenges","volume":"7","author":"EN Brown","year":"2004","journal-title":"Nature neuroscience"},{"issue":"7207","key":"ref73","doi-asserted-by":"crossref","first-page":"995","DOI":"10.1038\/nature07140","article-title":"Spatio-temporal correlations and visual signalling in a complete neuronal population","volume":"454","author":"JW Pillow","year":"2008","journal-title":"Nature"},{"issue":"4","key":"ref74","doi-asserted-by":"crossref","first-page":"375","DOI":"10.1080\/09548980701625173","article-title":"Common-input models for multiple neural spike-train data","volume":"18","author":"JE Kulkarni","year":"2007","journal-title":"Network: Computation in Neural Systems"},{"issue":"10","key":"ref75","doi-asserted-by":"crossref","first-page":"e1006490","DOI":"10.1371\/journal.pcbi.1006490","article-title":"Predicting how and when hidden neurons skew measured synaptic interactions","volume":"14","author":"BA Brinkman","year":"2018","journal-title":"PLoS computational biology"},{"key":"ref76","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1016\/j.conb.2017.07.003","article-title":"Once upon a (slow) time in the land of recurrent neuronal networks\u2026","volume":"46","author":"C Huang","year":"2017","journal-title":"Current Opinion in Neurobiology"},{"issue":"6","key":"ref77","doi-asserted-by":"crossref","first-page":"e1005583","DOI":"10.1371\/journal.pcbi.1005583","article-title":"Linking structure and activity in nonlinear spiking networks","volume":"13","author":"GK Ocker","year":"2017","journal-title":"Plos Computational Biology"},{"key":"ref78","unstructured":"Path Integral Methods for Stochastic Differential Equations | SpringerLink;. Available from: <ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/link.springer.com\/article\/10.1186\/s13408-015-0018-5\" xlink:type=\"simple\">https:\/\/link.springer.com\/article\/10.1186\/s13408-015-0018-5<\/ext-link>."},{"issue":"4","key":"ref79","doi-asserted-by":"crossref","first-page":"e1005498","DOI":"10.1371\/journal.pcbi.1005498","article-title":"Intrinsically-generated fluctuating activity in excitatory-inhibitory networks","volume":"13","author":"F Mastrogiuseppe","year":"2017","journal-title":"Plos Computational Biology"},{"key":"ref80","unstructured":"Zhao L. Synchronization on second order networks. PhD thesis. 2012."},{"issue":"5293","key":"ref81","doi-asserted-by":"crossref","first-page":"1724","DOI":"10.1126\/science.274.5293.1724","article-title":"Chaos in neuronal networks with balanced excitatory and inhibitory activity","volume":"274","author":"C vanVreeswijk","year":"1996","journal-title":"Science"}],"updated-by":[{"DOI":"10.1371\/journal.pcbi.1006446","type":"new_version","label":"New version","source":"publisher","updated":{"date-parts":[[2019,7,24]],"date-time":"2019-07-24T00:00:00Z","timestamp":1563926400000}}],"container-title":["PLOS Computational Biology"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/dx.plos.org\/10.1371\/journal.pcbi.1006446","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,8]],"date-time":"2020-05-08T20:00:24Z","timestamp":1588968024000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pcbi.1006446"}},"subtitle":[],"editor":[{"given":"J\u00f6rn","family":"Diedrichsen","sequence":"first","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2019,7,12]]},"references-count":81,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2019,7,12]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pcbi.1006446","relation":{"has-preprint":[{"id-type":"doi","id":"10.1101\/394684","asserted-by":"object"}]},"ISSN":["1553-7358"],"issn-type":[{"value":"1553-7358","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,7,12]]}}}